# vLLM adds day-0 support for Mistral Large 4 with 1M context

> Original title: 🎉 Le Chonk, meet vLLM.

- Source: vLLM
- Published: 2026-10-29T15:13:40.000Z
- Bad Influence: https://badinfluence.news/items/a13dhuj4njcyltz31h3es7f01
- Original: https://x.com/vllm_project/status/2115824393150701711

## Summary

vLLM says it offers day-0 support for Mistral Large 4, a trillion-parameter multimodal mixture-of-experts model with a 1M-token context window. The model targets coding, reasoning and cybersecurity tasks and ships FP8 and NVFP4 checkpoints with a built-in DSpark drafter.

## Post

🎉 Le Chonk, meet vLLM.

Day-0 support for @MistralAI's Mistral Large 4: a trillion-parameter multimodal MoE with 1M context for advanced coding, reasoning and cybersecurity-related tasks.

FP8 and NVFP4 checkpoints, with a built-in DSpark drafter.

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVzrEtmaEAARPiZ.jpg&mode=thumb&exp=1793491200&sig=8472b1a3ad7a3412)

## Quoted post @MistralAI

> Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity.
> 
> 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis.
> 
> 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others.
> 
> Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it.
> 
> Read more from our team and customers 👇:

https://x.com/MistralAI/status/2115811242556137820